Beam AI self-learning agents vs Kolleno AI agents
Quick answer
Beam AI self-learning agents (finance and operations agent suites) (Beam AI (Beam Technologies GmbH)) and Kolleno AI agents (Maestro AI and order-to-cash agents for collections, cash application and credit risk) (Kolleno (Kolleno Limited)) are both listed in the Business operations category of Agent Index.
They share no framework tags in our dataset.
This is not a ranking.
Beam AI self-learning agents (finance and operations agent suites) (Beam AI (Beam Technologies GmbH)) and Kolleno AI agents (Maestro AI and order-to-cash agents for collections, cash application and credit risk) (Kolleno (Kolleno Limited)) are both listed in the Business operations category of Agent Index. They share no framework tags in our dataset.
| Field |  Beam AI self-learning agents (finance and operations agent suites) |  Kolleno AI agents (Maestro AI and order-to-cash agents for collections, cash application and credit risk) |
|---|---|---|
| Vendor | Beam AI (Beam Technologies GmbH) | Kolleno (Kolleno Limited) |
| HQ | Germany · Europe | United Kingdom · Europe |
| Primary category | Business operations | Business operations |
| Also listed in | Business operations | Business operations, Risk |
| Summary | Agentic automation platform that turns SOPs into self-learning production agents, with prebuilt finance agents for invoice reconciliation, accounts receivable and financial compliance and reporting. | Order-to-cash platform whose AI agents chase invoices, reconcile and match payments and monitor credit risk within the customer's credit policy. Maestro AI routes work to task-specific agents, and each agent's autonomy can be set to insights, copilot drafting or independent execution, with every action logged and restricted actions sent to existing sign-off flows. |
| Frameworks (vendor-stated) | — | — |
| Frameworks (vendor-claimed) | — | ISO 27001, SOC 2 Type 2, SOC 1 Type 2 |
| Capabilities / tasks | process automation, agentic ops, workflow automation | process automation, workflow automation, agentic ops, risk assessment |
| Pricing (as published) | Published on beam.ai/pricing: Free (20 tasks/month), Pro $50/month (200 tasks/month), Scale $3,990/month, Custom plan on request. | Business Pay $545/month billed annually ($650 monthly); Business Plus $995/month billed annually ($1,245 monthly); Enterprise and Enterprise Plus by quote |
| Pricing model | freemium | published-tiers |
| Primary source | https://beam.ai/ | https://www.kolleno.com/ai-agents |
| Last checked | 2026-10-18 | 2026-10-19 |
| Official site | https://beam.ai/ | https://www.kolleno.com/ai-agents |
FAQ (from this dataset)
What is the difference between Beam AI self-learning agents and Kolleno AI agents?
Both are listed under Business operations. Shared tasks: process-automation, agentic-ops, workflow-automation. Beam AI self-learning agents-only tasks: none. Kolleno AI agents-only tasks: risk-assessment. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
Beam AI self-learning agents (finance and operations agent suites): Published on beam.ai/pricing: Free (20 tasks/month), Pro $50/month (200 tasks/month), Scale $3,990/month, Custom plan on request. Kolleno AI agents (Maestro AI and order-to-cash agents for collections, cash application and credit risk): Business Pay $545/month billed annually ($650 monthly); Business Plus $995/month billed annually ($1,245 monthly); Enterprise and Enterprise Plus by quote
Where are Beam AI self-learning agents and Kolleno AI agents headquartered?
Beam AI self-learning agents (finance and operations agent suites) publishes HQ in Germany. Kolleno AI agents (Maestro AI and order-to-cash agents for collections, cash application and credit risk) publishes HQ in United Kingdom.
Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.
Also in this use case
Other verified listings that share a task tag or use-case group with Beam AI self-learning agents (finance and operations agent suites) or Kolleno AI agents (Maestro AI and order-to-cash agents for collections, cash application and credit risk). Open a pair page or the use-case table — this is not a ranking.
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- QAD ChampionAI Champions (background agents for accounts payable, procurement follow-up and sourcing in manufacturing) — ChampionAI "Champions" from US manufacturing-software vendor QAD | Redzone are persona-based agents that run continuously in the background of a workflow. The Accounts Payable Champion (generally available since Sep 22, 2026) captures invoices from email, supplier portals and EDI, matches them to PO and goods receipt, clears in-tolerance invoices toward payment and routes only exceptions to people. The Procurement Champion chases suppliers and keeps POs and the ERP in sync; the Sourcing Champion creates RFQs, follows up suppliers and prepares award packs. · QAD ChampionAI Champions (background agents for accounts payable, procurement follow-up and sourcing in manufacturing) pair comparison
- trail Governance Agents (GRC and AI governance agents) — Munich-based trail's Governance Agents run GRC busywork in the background: they read your project files and sources to collect and link evidence, assess controls, classify systems, run risk and vendor assessments and draft policies, proposing changes that a human approves before anything is written.
- Trulioo UBO Discovery Agent (agentic beneficial-ownership research inside KYB) — Agentic AI inside Trulioo's KYB verification workflow from Vancouver-headquartered Trulioo. When registries run out, the UBO Discovery Agent researches filings, disclosures, legal and public records, OSINT and verified third-party databases, reaches registries without API connectivity in real time, reconstructs the beneficial-ownership chain with jurisdiction-specific control logic, cites every finding and reports gaps instead of guessing.
- UpFlux Agente Negociador (autonomous tail-spend negotiation and purchasing agent inside TOTVS Protheus, Datasul and SAP) — Procurement agent from Brazil's UpFlux that works inside the customer's ERP (TOTVS Protheus, Datasul or SAP). It reads 12 months of purchase history, finds the best price the company has already paid for each item, and on each new requisition requests quotes, makes counter-offers, routes to the right supplier and writes the purchase order itself when the deal is within the buyer-set approval limits. Buyers approve only the exceptions. · UpFlux Agente Negociador (autonomous tail-spend negotiation and purchasing agent inside TOTVS Protheus, Datasul and SAP) pair comparison
Use-case comparisons
- AP and finance-automation AI agents — 39 listings (Accounts payable, invoice and spend automation in finance back offices)
Related
- Beam AI self-learning agents (finance and operations agent suites) alternatives
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